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公开(公告)号：US20250045494A1
公开(公告)日：2025-02-06
申请号：US18649872
申请日：2024-04-29
Applicant: AUTODESK, INC.
Inventor： George William FITZMAURICE , Jo Karel VERMEULEN , Justin Frank MATEJKA
IPC: G06F30/27
Abstract: In various embodiments, a computer-implemented method for generating a design object comprises generating a prompt within a design space generated by a design exploration application, wherein the prompt has a prompt definition that includes at least design intent text, and a prompt volume that occupies a portion of the design space and exerts a sphere of influence within the prompt volume, executing a trained machine learning (ML) model on the prompt to generate the design object, and displaying the design object within the prompt volume.
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公开(公告)号：US20240095416A1
公开(公告)日：2024-03-21
申请号：US18329497
申请日：2023-06-05
Applicant: AUTODESK, INC.
Inventor： Frederik BRUDY , Dagmara Lilianna SZKURLAT , Vikram-jit Singh BENIPAL , Michael Ziye FAN , Andrew Gareth Lewis JONES , Justin Frank MATEJKA , Zoé Samiha Valentine BEZPALKO , Lorenzo VILLAGGI , Fraser ANDERSON , George FITZMAURICE , Patrick NADEAU , Benjamin James THOMPSON , Daniel NOVIELLO , Arthur HARSUVANAKIT
CPC classification number: G06F30/13 , G06F30/12 , G06F2119/06
Abstract: In various embodiments a computer-implemented method for providing sustainability insights to a user designing an object. The method includes determining a first value of a sustainability metric associated with a design of an object, displaying, via a graphical user interface (GUI), a visual indication of the first value of the sustainability metric, and detecting a change to the design of the object. The method further includes, in response to detecting the change to the design of the object, determining a second value of the sustainability metric and displaying, via the GUI, a visual indication of the second value of the sustainability metric.
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公开(公告)号：US20230333962A1
公开(公告)日：2023-10-19
申请号：US17969555
申请日：2022-10-19
Applicant: AUTODESK, INC.
CPC classification number: G06F11/3604 , G06F11/3476
Abstract: A feedback mechanism that reports software issues between users of software applications and the developers of the software applications. The feedback mechanism generates feedback logs that capture moments of user frustration at the moment a user encounters issues with using a particular software application executing on a client device. The feedback mechanism is triggered to generate a feedback log by the user via a predetermined set of user inputs. Once generated, the feedback log captures an associated importance level, a user description, and/or context information (such as application and command activity information) for the particular software application and one or more other software applications that interacted with the particular software application executing on the client device. The feedback log can also capture multimedia content such as audio, images, and videos. The feedback log is then transmitted to a server of a developer of the particular software application.
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公开(公告)号：US20230289220A1
公开(公告)日：2023-09-14
申请号：US17965715
申请日：2022-10-13
Applicant: AUTODESK, INC.
CPC classification number: G06F9/4881 , G06F9/3836
Abstract: One embodiment of a computer-implemented method for automatically tracking how extensively software application commands have been investigated comprises identifying an interaction with a first command occurring within a graphical user interface, wherein the first command is associated with one or more command parameters; updating a command history associated with the first command based on the interaction with the first command; computing a progress level associated with the first command based on the command history, wherein the progress level indicates how many command parameters included in the one or more command parameters have been modified; determining a coverage level associated with the first command based on the command history; and outputting at least one of the use level or the progress level for display in the graphical user interface.
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公开(公告)号：US20230289201A1
公开(公告)日：2023-09-14
申请号：US17965717
申请日：2022-10-13
Applicant: AUTODESK, INC.
IPC: G06F9/451 , G06F3/0482 , G06F3/0484
CPC classification number: G06F9/453 , G06F3/0482 , G06F3/0484
Abstract: One embodiment of a computer-implemented method for executing software application commands on practice data comprises identifying a command demonstration that is stored in a database based on a current command being interacted with in a graphical user interface, wherein the command demonstration is associated with sample application data; receiving a selection of whether to execute the command demonstration on the sample application data or current application data; causing the command demonstration to be executed on either the sample application data or a copy of current application data to generate modified data; and causing the modified data to be output within the graphical user interface.
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Patent Agency Ranking
公开(公告)号：US20200034513A1
公开(公告)日：2020-01-30
申请号：US16134859
申请日：2018-09-18
Applicant: AUTODESK, INC.
Inventor： Fraser ANDERSON , Stelian COROS , Ruta DESAI , Tovi GROSSMAN , Justin Frank MATEJKA , George FITZMAURICE
Abstract: An automated robot design pipeline facilitates the overall process of designing robots that perform various desired behaviors. The disclosed pipeline includes four stages. In the first stage, a generative engine samples a design space to generate a large number of robot designs. In the second stage, a metric engine generates behavioral metrics indicating a degree to which each robot design performs the desired behaviors. In the third stage, a mapping engine generates a behavior predictor that can predict the behavioral metrics for any given robot design. In the fourth stage, a design engine generates a graphical user interface (GUI) that guides the user in performing behavior-driven design of a robot. One advantage of the disclosed approach is that the user need not have specialized skills in either graphic design or programming to generate designs for robots that perform specific behaviors or express various emotions.
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公开(公告)号：US20190311510A1
公开(公告)日：2019-10-10
申请号：US16450683
申请日：2019-06-24
Applicant: AUTODESK, INC.
Inventor： Justin Frank MATEJKA , Fraser ANDERSON , George FITZMAURICE
IPC: G06T11/20
Abstract: An opacity engine for automatically and dynamically setting an opacity level for a scatterplot based on a predetermined value for a mean opacity level of utilized pixels (MOUP) in the scatterplot. The opacity engine may automatically set the opacity level for the scatterplot to produce the predetermined MOUP value in the scatterplot. A utilized pixel in the scatterplot comprises a pixel displaying at least one data point representing data. The MOUP value in the scatterplot may be equal to the sum of the final opacity levels of all utilized pixels in the chart, divided by the number of utilized pixels in the chart. The predetermined MOUP value may be between 35%-45%, such as 40%. The opacity engine may adjust the determined opacity level for charts having relatively low over-plotting factors.
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公开(公告)号：US20160358626A1
公开(公告)日：2016-12-08
申请号：US14730199
申请日：2015-06-03
Applicant: AUTODESK, Inc
Inventor： Justin Frank MATEJKA , Tovi GROSSMAN , George FITZMAURICE
CPC classification number: H04L65/4069 , G11B27/102 , G11B27/322 , H04L65/4084 , H04L65/605
Abstract: Disclosed is a technique for generating chronological event information. The technique involves receiving event data comprising a plurality of events, where each event is associated with a different position in a video stream. The technique further involves determining that a current playhead position in the video stream corresponds to a first position associated with a first event, and, in response, causing the first event to be displayed in an event list as a current event, causing a second event to be displayed in the event list as a previous event, where the second event is associated with a second position in the video stream that is before the first position, and causing a third event to be displayed in the event list as a next event, where the third event is associated with a third position in the video stream that is after the first position.
Abstract translation: 公开了一种用于产生时间顺序事件信息的技术。 该技术涉及接收包括多个事件的事件数据，其中每个事件与视频流中的不同位置相关联。 该技术还涉及确定视频流中的当前播放头位置对应于与第一事件相关联的第一位置，并且作为响应，使得将第一事件作为当前事件显示在事件列表中，从而导致第二事件 作为先前事件显示在事件列表中，其中第二事件与第一位置之前的视频流中的第二位置相关联，并且使第三事件在事件列表中显示为下一个事件， 其中第三事件与在第一位置之后的视频流中的第三位置相关联。
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公开(公告)号：US20150156076A1
公开(公告)日：2015-06-04
申请号：US14542390
申请日：2014-11-14
Applicant: AUTODESK, INC.
Inventor： Justin Frank MATEJKA , George FITZMAURICE
Abstract: A visualization engine is configured to generate a network visualization that represents the evolution of a network over time. The visualization engine generates the network visualization based on a network dataset that describes various nodes within the network, and links between those nodes, over a sequence of time intervals. Initially, the visualization engine generates a stable simulated network based on initial network data, and then subsequently animates changes to that simulated network that derive from differences between the initial network data and subsequent network data. The visualization engine visually indicates changes to different nodes in the network via color changes, size changes, and other changes to the appearance of nodes.
Abstract translation: 可视化引擎被配置为生成代表网络随着时间的演进的网络可视化。 可视化引擎基于描述网络内的各种节点的网络数据集以及这些节点之间的链接，通过一系列时间间隔来生成网络可视化。 最初，可视化引擎基于初始网络数据生成稳定的模拟网络，然后随后对从初始网络数据和后续网络数据之间的差异导出的模拟网络进行动画变化。 可视化引擎可视地指示通过颜色变化，大小变化以及对节点外观的其他变化来改变网络中的不同节点。
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公开(公告)号：US20150153919A1
公开(公告)日：2015-06-04
申请号：US14524770
申请日：2014-10-27
Applicant: AUTODESK, INC.
Inventor： Justin Frank MATEJKA , George FITZMAURICE , Tovi GROSSMAN
IPC: G06F3/0484 , G11B27/10
CPC classification number: G06F3/0482 , G06F16/743 , G06F16/93 , G06F17/509 , G11B27/102 , G11B27/34 , H04L41/22 , H04N21/00 , H04N21/4728 , H04N21/482 , H04N21/4821
Abstract: A video processing engine is configured to generate a graphical user interface (GUI) that allows an end-user of the video processing engine to select a specific video and search through the specific video to detect a desired target scene. The video processing engine provides a grid array of video thumbnails that are configured to each display a segment of the video so that multiple scenes may be visually scanned simultaneously. When the end-user identifies a scene within a video thumbnail that may be the desired target scene, the end-user may launch the content of the video thumbnail in full-screen mode to verify that the scene is in fact the desired target scene. An advantage of the approach described herein is that the video processing engine provides a sampled overview of the video in its entirety, thus enabling the end-user to more effectively scrub the video for the desired target scene.
Abstract translation: 视频处理引擎被配置为生成允许视频处理引擎的最终用户选择特定视频并通过特定视频搜索以检测期望的目标场景的图形用户界面（GUI）。 视频处理引擎提供视频缩略图的网格阵列，其被配置为每个显示视频的片段，使得可以同时可视地扫描多个场景。 当最终用户识别可能是期望的目标场景的视频缩略图内的场景时，终端用户可以以全屏模式启动视频缩略图的内容，以验证场景实际上是所需的目标场景。 本文描述的方法的优点在于视频处理引擎提供视频整体的抽样概览，从而使最终用户能够更有效地擦除所期望的目标场景的视频。
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